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Demystification of the key concepts of AI and ML #132

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Demystification of the key concepts of AI and ML #132

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3 changes: 1 addition & 2 deletions content/paradiso/demystification-ai-ml-dl.md
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Expand Up @@ -17,8 +17,7 @@ description: This guide wants to clarify ideas about terms such as Artificial In
The term Machine Learning is often confused with the term **Artificial Intelligence** (abbreviated to AI), which however refers to a set of techniques, methodologies, and algorithms that includes those of **Machine Learning** (abbreviated to ML).

The objective of the AI field is to create _intelligent_ agents, which can have a perception of the real world through sensors, make decisions thanks to their "intelligence", and finally implement them through actuators.
If you want to make an analogy with a human being, you can think of sensors as the sense organs (eyes, ears,...), the intelligence is that of our brain and the actuators can be the hands, feet, or more generally the muscles.
However, the biological analogy is limited, since it is not necessary for the sensors of an agent to detect physical phenomena, such as temperature or time, but it could detect data, relations, or inputs of any other kind.
If you want to make an analogy with a human being, you can think of sensors as the sense organs (eyes, ears,...), the intelligence is that of our brain and the actuators can be the hands, feet, or more generally the muscles.

However, [the biological analogy is limited](https://www.reddit.com/r/MachineLearning/comments/ayvxvc/d_are_the_connections_between_deep_learning_and/), since it is not necessary for the sensors of an agent to detect physical phenomena, such as temperature or time, but it could detect data, relations, or inputs of any other kind.

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